ConformalPrediction.jlPredictive Uncertainty Quantification in Machine Learning
Delft University of Technology
July 27, 2023
ConformalPrediction.jl (10min)Code along 💻 tinyurl.com/cpjcon2023
Conformal Prediction involves turning heuristic measures of Predictive Uncertainty into rigorous ones.
A first crucial step towards building trustworthy AI systems is to be transparent about predictive uncertainty.
ConformalPrediction.jlMLJ.jl.Flux.jl through MLJFlux.jl.We had a great talk on
SymbolicRegression.jlby Miles Cranmer, so I thought I’d take it for ride 🏎️
A simple MNIST classifier.
Ensemble Batch Prediction Intervals (Xu and Xie 2021) contributed by Mojtaba Farmanbar 📣.
Tutorial
How to Conformalize a Time Series Model (docs)
CounterfactualExplanations.jl.Contribute
Currently working on full conformal training implementation [#62].
LaplaceRedux.jlContribute
LaplaceRedux.jl interfaced to MLJFlux.jl. Planning to add both ideas [#64].
JuliaTaija collects Julia packages geared towards Trustworthy AI:
Contributions welcome! 😊